Big Data: Characteristics, Issues and Clustering Techniques

Now a days as Big Data is generated from sensor networks, IOTs, Social network and many collaborative networks, etc. continuously over a period of time line resulting in very large volumes of Data of various types at a phenomenal rate. Handling the characteristics of Big Data is a huge challenge. To handle this large data called big data a different approach or algorithm is required by organizations to handle all the challenges of Big data the Big data system requires a massive processing power and stable complex network configurations. Focuses should be on the analysis part of the big data classification by implementing different techniques in it. The various clustering techniques and the algorithms with the challenges they pose with Big data are discussed . To handle the dimensionality issues and approach the unsupervised machine learning, the use of clustering technique is the most common step in Big Data.